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Deep learning to predict microscope images
A species of neural network first described in 2015 can be trained to translate between images of the same field of view acquired by different modalities. Trained networks can use information inherent in grayscale images of cells to predict fluorescent signals.
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| Publicado no: | Nat Methods |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6322918/ https://ncbi.nlm.nih.gov/pubmed/30377365 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41592-018-0194-9 |
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